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MarketBasketAnalysis for WooCommerce

Name: MarketBasketAnalysis for WooCommerce
Author: brian48x

Association-rule mining for WooCommerce: turn your order history into ranked bundle and cross-sell picks. No SaaS, your orders stay on your server.

MarketBasketAnalysis for WooCommerce ranks #71,841 among WordPress.org plugins with 0+ active installations, is #10,113 of 14,124 in the E-commerce category, and was last updated Oct 2, 2026. Data from WordPress.org, refreshed twice daily — see methodology.

Compatible with WP 7.1.4

v0.17.0 Current Version v0.17.0

Updated 1 month ago Last Update on 02 Oct, 2026

Refreshed 1 week ago Last Refreshed on

#10,113 of 14,124 in E-commerce

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#71,841

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Active Installs

-100%

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Downloads

334

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Support Resolved

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0 (0 reviews)

Next Milestone 10

Total Progress 0%

0+ 10+

44,273

Ranks to Climb

Growth Needed

8,000,000

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Plugin Details

Version: 0.17.0
Last Updated: Oct 02, 2026
Requires WP: 6.4+
Tested Up To: 7.1.4
PHP Version: 8.1 or higher
Author: brian48x

Support & Rating

Rating: ☆ ☆ ☆ ☆ ☆ 0
Reviews: 0
Support Threads: 0
Resolved: 0%

Keywords

bundles cross-sell frequently bought together recommendations woocommerce

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Frequently Asked Questions

Common questions about MarketBasketAnalysis for WooCommerce

The data-driven engines (sql_pairs, fp_growth) require order history. Around 200 completed orders in the analysis window is the sensible floor below which patterns are too sparse to mine. For brand-new stores with no order history, the free ai_catalog engine produces recommendations from catalog metadata alone, using your own Anthropic or OpenAI API key (the provider bills you directly).

No. Jobs run in the background via WP-Cron or are kicked off manually from the admin. The storefront widget hits precomputed rules from a fast database table; lookups are sub-millisecond and never a real-time computation at page load.

Yes. The miner checks the site's HPOS setting and queries the right tables automatically. No configuration needed.

Mining runs locally. The data-driven mining engines make no outbound API calls, and individual orders and customer records never leave your server. AI features call your own Anthropic or OpenAI account directly using a key you paste into Settings. They send product catalog data and aggregate statistics (for example, how many baskets contain a product pair), never customer names, email addresses, or individual orders. The External services section below lists exactly what each optional service receives and when. We never see the catalog payload or the LLM response. Every AI feature (the ai_catalog engine, AI bundle copy, and catalog enrichment) needs only your provider key, and the provider bills you directly. You set a monthly token budget for the AI assistant and the storefront rationales under Settings, AI Catalog Pairing, so a busy month cannot surprise you; 0 means no limit.

For a given product, the widget looks up the top-scored opportunities where that product appears in the antecedent (the "if" side of an association rule). Ties are broken by lift, then confidence.

Yes. Every block exposes its CSS classes (.mbawoo-fbt, .mbawoo-fbt__item, etc.). Override in your theme's stylesheet or use the Gutenberg block's color/layout controls.

AI features that call an LLM use YOUR Anthropic or OpenAI API key, and the provider bills you directly. Nothing about them is metered by us. You can cap the monthly token spend for the AI assistant and the storefront rationales under Settings, AI Catalog Pairing.

Yes, this plugin is GPLv2+ licensed and you can read and modify any of its code.

Use the WordPress.org plugin support forum once the directory listing is approved; until then, marketbasketanalysis.com/contact.